VC dimension stands for Vapnik–Chervonenkis dimension, a measure of model capacity/complexity.
Artificial Neural Networks (ANNs) are computational algorithms inspired by biological neural networks.
One-class SVM is mainly used for anomaly/outlier detection, which falls under unsupervised learning.
For K-Means, the time complexity per iteration is O(kN), where k = number of clusters and N = number of data points.
The forward–backward algorithm in Hidden Markov Models (HMM) is used to compute posterior marginals over hidden states.
Hidden Markov Model (HMM) is a probabilistic model and can be seen as a special case of Conditional Random Fields (CRF).
In FP-Growth, FP stands for Frequent Pattern, used in association rule mining.
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